CluHTM - Semantic Hierarchical Topic Modeling based on CluWords

no code implementations • ACL 2020 • Felipe Viegas, Washington Cunha, Christian Gomes, Ant{\^o}nio Pereira, Leonardo Rocha, Marcos Goncalves

Hierarchical Topic modeling (HTM) exploits latent topics and relationships among them as a powerful tool for data analysis and exploration.

TPDR: A Novel Two-Step Transformer-based Product and Class Description Match and Retrieval Method

no code implementations • 5 Oct 2023 • Washington Cunha, Celso França, Leonardo Rocha, Marcos André Gonçalves

In this paper, we propose TPDR, a two-step Transformer-based Product and Class Description Retrieval method that is able to explore the semantic correspondence between IS and SD, by exploiting attention mechanisms and contrastive learning.

Contrastive Learning Position +3